Description:

XII GSEB STATISTICS 1, Chapter 4: Time Series is a comprehensive course aimed at providing in-depth knowledge and understanding of statistical concepts related to Time Series analysis. This course is specifically designed for students of Gujarat Secondary and Higher Secondary Education Board (GSEB) studying in Grade XII.

Key Highlights:

• Learn about different types of Time Series including additive and multiplicative models
• Understand how to apply Time Series analysis in real-life scenarios
• Get to know about various Time Series forecasting methods

What you will learn:

• Introduction to Time Series
  The module will introduce you to Time Series and its significance. You will learn about different types of Time Series and their characteristics.
• Time Series Components
  In this module, you will understand the components of Time Series and how to decompose it into different components. You will also learn about the different types of models.
• Forecasting Methods
  This module covers the basics of forecasting such as moving average methods, trend analysis, and exponential smoothing methods. You will also learn various Time Series forecasting techniques.
• ARIMA Models
  This section introduces the ARIMA models for Time Series forecasting and teaches you how to use them efficiently.